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Updated: Jan 4, 2026

Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay
Published on: August 26, 2018
Site-Specific mRNA Cleavage for Selective and Quantitative Profiling of Alternative Splicing with Label-Free Optical
Cesar S Huertas1,2, Sophie Bonnal3,4, Maria Soler1,5
1Nanobiosensors and Bioanalytical Applications Group , Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, BIST and CIBER-BBN , 08193 Bellaterra, Barcelona , Spain.
Abstract:
Alternative splicing of mRNA precursors is a key process in gene regulation, contributing to the diversity of proteomes by the alternative selection of exonic sequences. Alterations in this mechanism are associated with most cancers, enhancing their proliferation and survival, and can be employed as cancer biomarkers. Label-free optical biosensors are ideal tools for the highly sensitive and label-free analysis of nucleic acids. However, their application for alternative splicing analysis has been hampered due to the formation of complex and intricate long-range base-pairing interactions which make the direct detection in mRNA isoforms difficult. To solve this bottleneck, we introduce a methodology for the generation of length-controlled RNA fragments from purified total RNA, which can be easily detected by the biosensor. The methodology seizes RNase H enzyme activity to degrade the upstream and downstream RNA segments flanking the target sequence upon hybridization to specific DNA oligos. It allows the fast and direct monitoring of Fas gene alternative splicing in real time, employing a surface plasmon resonance biosensor. We demonstrate the selective and specific detection of mRNA fragments in the pM-nM concentration range, reducing quantification errors and showing 81% accuracy when compared to RT-qPCR. The site-specific cleavage outperformed random RNA hydrolysis by increasing the detection accuracy by 20%, making this methodology particularly appropriate for label-free quantification of alternative splicing events in complex samples.
Insights
This study introduces a novel method to analyze alternative mRNA splicing using RNase H and optical biosensors. This technique enables precise, real-time detection of specific mRNA fragments, improving cancer biomarker analysis.
Area of Science:
- Molecular Biology
- Biochemistry
- Genetics
Background:
- Alternative splicing of mRNA precursors is crucial for proteome diversity and is often dysregulated in cancer, presenting potential biomarkers.
- Label-free optical biosensors offer sensitive nucleic acid analysis but struggle with complex RNA structures hindering alternative splicing detection.
- Existing methods for analyzing mRNA isoforms are often indirect or lack the sensitivity required for complex biological samples.
Purpose of the Study:
- To develop a robust methodology for the direct and sensitive detection of alternative mRNA splicing events using label-free optical biosensing.
- To overcome the challenge of long-range base-pairing interactions in mRNA that impede direct isoform analysis.
- To enable real-time monitoring of alternative splicing for potential applications in cancer diagnostics.
Main Methods:
- Generation of length-controlled RNA fragments from total RNA using RNase H enzyme activity guided by specific DNA oligos.
- Hybridization of DNA oligos to target RNA sequences, followed by site-specific RNase H cleavage of flanking regions.
- Real-time monitoring of generated mRNA fragments using a surface plasmon resonance (SPR) biosensor.
Main Results:
- Demonstrated selective and specific detection of mRNA fragments in the picomolar to nanomolar concentration range.
- Achieved 81% accuracy in alternative splicing detection compared to quantitative reverse transcription PCR (RT-qPCR).
- Showed that site-specific RNA cleavage improved detection accuracy by 20% over random hydrolysis, reducing quantification errors.
Conclusions:
- The developed methodology enables efficient, label-free quantification of alternative splicing events in complex samples.
- This approach significantly enhances the accuracy and sensitivity of detecting mRNA isoforms, overcoming previous limitations.
- The technique holds promise for advancing cancer biomarker discovery and real-time monitoring of gene regulation.
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